AI in Mental Health Resources
Welcome to Sentio’s AI in mental health resources hub: a growing collection of practical tools, checklists, and clinician-ready handouts for using AI in psychotherapy training and clinical work with care, structure, and ethical guardrails.
These free resources are designed to support safe and ethical therapy-aligned AI use. This page will continue to grow as technology, research, and best practices evolve. For broader context, visit our AI Research page.
See the Sentio Statement on AI and sign up for email list to be alerted of new events and research. See free recorded webinars on AI in Mental Health on our YouTube channel.
Clinician Checklist: Assessment of Client AI Use
A comprehensive checklist to help clinicians assess whether, how, and why a client is using AI for emotional or psychological support, and what impact that use is having. Includes sections on current use patterns, function of use, impact ratings, and key risk signals such as over-trust, reassurance loops, and emotional substitution.
Best for: case formulation, supervision, treatment planning, and identifying next-step guardrails.
Clinician Checklist: Appropriateness of AI-Assistance Between Sessions
A structured decision tool for determining whether it is clinically appropriate to suggest AI-assisted between-session support (for example: reminders, task support, or brief monitoring). Includes readiness criteria, STOP screens (contraindications), caution screens, practical fit, and session-based safety guardrails to reduce predictable risks.
Best for: deciding when to suggest AI between sessions and how to do so with clear boundaries.
Sentio AI Competency Checklist
A practical self-assessment checklist for students, trainees, and clinicians to evaluate safe and ethical AI use in clinical learning and practice. This checklist covers core competency areas including transparency, confidentiality protection, bias and fairness, accuracy and critical evaluation, and human oversight/judgment.
It is designed to help users identify strengths and “red flag” gaps that should be addressed in supervision and training before applying AI-informed ideas in clinical work.
Best for: students, supervisees, supervisors, training programs, and clinicians building foundational AI competency in psychotherapy practice.
Using AI Safely as a Brief Monitoring Tool Between Sessions
A practical clinician handout on using AI as a simple, low-burden monitoring tool between therapy sessions. It shows how to introduce the idea to clients, choose a good target to track, use a copy/paste prompt for daily logging, and bring AI-generated summaries back into session to support better clinical decisions.
The handout emphasizes what makes this approach useful in real practice: brief check-ins (10–30 seconds), personalized targets, optional participation, and reviewing patterns together in therapy rather than outsourcing interpretation to AI.
Best for: clinicians, trainees, supervisors, and therapy training programs interested in routine outcome monitoring (ROM) and safe AI-assisted psychotherapy workflows.